Search Results for author: Kate Thompson

Found 5 papers, 0 papers with code

Nebula: A discourse aware Minecraft Builder

no code implementations26 Jun 2024 Akshay Chaturvedi, Kate Thompson, Nicholas Asher

When engaging in collaborative tasks, humans efficiently exploit the semantic structure of a conversation to optimize verbal and nonverbal interactions.

Minecraft

Llamipa: An Incremental Discourse Parser

no code implementations26 Jun 2024 Kate Thompson, Akshay Chaturvedi, Julie Hunter, Nicholas Asher

This paper provides the first discourse parsing experiments with a large language model(LLM) finetuned on corpora annotated in the style of SDRT (Segmented Discourse Representation Theory Asher, 1993; Asher and Lascarides, 2003).

Discourse Parsing Language Modeling +2

Weak Supervision for Learning Discourse Structure

no code implementations IJCNLP 2019 Sonia Badene, Kate Thompson, Jean-Pierre Lorr{\'e}, Nicholas Asher

We show that on our task the generative model outperforms both deep learning architectures as well as more traditional ML approaches when learning discourse structure{---}it even outperforms the combination of deep learning methods and hand-crafted features.

Deep Learning

Data Programming for Learning Discourse Structure

no code implementations ACL 2019 Sonia Badene, Kate Thompson, Jean-Pierre Lorr{\'e}, Nicholas Asher

This paper investigates the advantages and limits of data programming for the task of learning discourse structure.

Cannot find the paper you are looking for? You can Submit a new open access paper.